Advertisement

Spatiotemporal trends of forest cover change in Southeast Asia

  • Stefan ErasmiEmail author
  • Muhammad Ardiansyah
  • Pavel Propastin
  • Alfredo Huete
Chapter
Part of the Environmental Science and Engineering book series (ESE)

Summary

The current state of tropical forest cover and its change have been identified as key variables in modelling and measuring the consequences of human action on ecosystems. The conversion of tropical forest cover to any other land cover (deforestation) directly contributes to the two main environmental threats of the recent past: 1) the alteration of the global climate by the emission of carbon to the atmosphere and 2) the decline in tropical biodiversity by land use intensification and habitat conversion. The sub-continent of Southeast Asia exhibits one of the highest rates of forest loss and comprises one of the regions with the highest amount and diversity of flora and fauna species, worldwide.

The knowledge of the spatial and temporal trends in the variation of forest cover in tropical regions is a prerequisite for the development and establishment of mitigation strategies from the global to the regional level. However, there is considerable disagreement in recent estimates of tropical forest cover change ranging from continuing and intensified decline in forest loss to a distinct decrease in deforestation rates and up to stagnation in other cases. Against this background, the present study aims at a review and comparison of recently available global forest cover estimates for the region of Southeast Asia. In a case study, the results at the national level will be compared to an analysis at the regional level for the island of Sulawesi, Indonesia. The outcome of the study provides recommendations for future remote sensing based forest assessments in tropical regions.

Keywords

Tropical deforestation tropical forest cover GlobCover Landsat Southeast Asia 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Achard F, Eva HD, Stibig HJ, Mayaux P, Gallego J, Richards T, Malingreau JP (2002) Determination of Deforestation Rates of the World's Humid Tropical Forests. Science 297 (9): 999–1002CrossRefGoogle Scholar
  2. Achard F, Eva H, Mayaux P (2001) Tropical forest mapping from coarse spatial resolution satellite data: Production and accuracy assessment issues. International Journal of Remote Sensing, 22: 2741–2762Google Scholar
  3. Achard F, DeFries R, Eva H, Hansen M, Mayaux P, Stibig HJ (2007) Pantropical monitoring of deforestation. Environmental Research Letters 2Google Scholar
  4. Arino O, Gross D, Ranera F, Bourg L, Leroy M, Bicheron P, Latham J, Di Gregorio A, Brockman C, Witt R, Defourny P, Vancutsem C, Herold M, Sambale J, Achard F, Durieux L, Plummer S,Weber JL (2008) GlobCover. ESA service for global land cover from MERIS. 2007 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2007: 2412–15Google Scholar
  5. Bartholomé E, Belward AS (2005) GLC2000: a new approach to global landcover mapping from Earth observation data. Int J Remote Sens 26 (9): 1959–1977CrossRefGoogle Scholar
  6. Bonan GB, (2008) Forests and climate change: Forcings, feedbacks, and the climate benefits of forests. Science 320: 1444–1449CrossRefGoogle Scholar
  7. Czaplewski RL (2003) Can a sample of Landsat sensor scenes reliably estimate the global extent of tropical deforestation? Int. J. Remote Sens. 24: 140912CrossRefGoogle Scholar
  8. DeFries RS, Houghton RA, Hansen MC, Field CB, Skole D, Townshend J (2002) Carbon emissions from tropical deforestation and regrowth based on satellite observations for the 1980s and 1990s. Proceedings of the National Academy of Sciences of the United States of America 99: 14256–14261CrossRefGoogle Scholar
  9. DeFries R, Hansen M, Townshend JRG, Janetos AC, Loveland TR (2000) A new global 1 km data set of percent tree cover derived from remote sensing. Global Change Biology 6: 247–254CrossRefGoogle Scholar
  10. Duveiller G, Defourny P, Desclée B, Mayaux P (2008) Deforestation in central Africa: estimates at regional, national and landscape levels by advanced processing of systematically–distributed Landsat extracts. Remote Sens. Environ. 112 (5): 1969–1981CrossRefGoogle Scholar
  11. Erasmi S, Twele A, Ardiansyah M, Malik A, Kappas M (2004) Mapping deforestation and land–cover conversion at the rainforest margin in Central Sulawesi, Indonesia. EARSeL eProceedings, 3 (3): 388–397Google Scholar
  12. Erasmi S, Kappas M, Twele A, Ardiansyah M. (2007) From global to regional scale: Remote Sensing based concepts and methods for mapping land-cover and land-cover change in tropical regions. In: Stability of tropical rainforest margins: Linking ecological, economic and social constraints (Tscharntke T et al., eds.), Springer, Heidelberg, p 437–462Google Scholar
  13. FAO (2006) FRA 2005 –Global Forest Resources Assessment 2005. (Rome, FAO) 320 ppGoogle Scholar
  14. Friedl MA, McIver DK, Hodges JCF, Zhang XY, Muchoney D, Strahler AH, Woodcock CE, Gopal S, Schneider A, Cooper A, Baccini A, Gao F, Schaaf C (2002) Global land-cover mapping from MODIS: algorithms and early results. Remote Sens Environ 83 (1): 287–302CrossRefGoogle Scholar
  15. Gibbs HK, Brown S, Niles JO, Foley JA (2007) Monitoring and estimating tropical forest carbon stocks: making REDD a reality. Environmental Research Letters 2Google Scholar
  16. Gillespie TW, Foody GM, Rocchini D, Giorgi AP, Saatchi S (2008) Measuring and modelling biodiversity from space. Progress in Physical Geography 32: 203–221CrossRefGoogle Scholar
  17. GOFC-GOLD (2008) Reducing greenhouse gas emissions from deforestation and degradation in developing countries: a sourcebook of methods and procedures for monitoring, measuring and reporting, GOFC-GOLD Report version COP13-2, (GOFC-GOLD Project Office, Natural Resources Canada, Alberta, Canada)Google Scholar
  18. Grainger A (2008) Difficulties in tracking the long-term global trend in tropical forest area. Proceedings of the National Academy of Sciences of the United States of America 105: 818–823CrossRefGoogle Scholar
  19. Hansen MC, Reed R (2000) A comparison of the IGBP DISCover and University of Maryland 1 km global land-cover products. Int J Remote Sens 21 (6&7): 1365–1373CrossRefGoogle Scholar
  20. Hansen MC, DeFries RS, Townshend JRG, Sohlberg R, Dimiceli C, Carroll M (2002) Towards an operational MODIS continuous field of percent tree cover algorithm: examples using AVHRR and MODIS data. Remote Sensing of Environment 83: 303–319CrossRefGoogle Scholar
  21. Hansen MC, Stehman SV, Potapov PV, Loveland TR, Townshend JRG, De–Fries RS, Pittman KW, Arunarwati B, Stolle F, Steininger MK, Carroll M, DiMiceli C (2008) Humid tropical forest clearing from 2000 to 2005 quantified by using multitemporal and multiresolution remotely sensed data. Proceedings of the National Academy of Sciences of the United States of America 105: 9439–9444CrossRefGoogle Scholar
  22. Herold M, Johns T (2007) Linking requirements with capabilities for deforestation monitoring in the context of the UNFCCC-REDD process. Environmental Research Letters 2Google Scholar
  23. Herold M, Latham JS, Gregorio AD, Schmullius CC (2006) Evolving standards in land cover characterization,Journal of Land Use Science 1 (2): 157 168CrossRefGoogle Scholar
  24. Herold M, Mayaux P, Woodcock CE, Baccini A, Schmullius C (2008) Some challenges in global land cover mapping: An assessment of agreement and accuracy in existing 1 km datasets. Remote Sensing of Environment 112: 2538–2556CrossRefGoogle Scholar
  25. Holmgren P, Marklund LG, Saket M, Wilkie ML (2007) Forest monitoring and assessment for climate change reporting: partnerships, capacity building and delivery. Forest Resources Assessment Working Paper 142. FAO, Rome, available online at: www.fao.org/forestry/fra (last access 30 January 2009)
  26. Intergovernmental Panel on Climate Change (IPCC) (2007) Climate change 2007: synthesis report. IPCC fourth assessment report (Geneva, Switzerland)Google Scholar
  27. Loveland TR, Reed BC, Brown JF, Ohlen DO, Zhu Z, Yang L, Merchant JW (2000) Development of a global land-cover characteristics database and IGBP DISCover from 1 km AVHRR data. Int J Remote Sens 21 (6+7): 1303–1330CrossRefGoogle Scholar
  28. Lu D, Mausel P, Brondizio E, Moran E (2004) Change detection techniques. Int J Remote Sens 25 (12): 2365–2407CrossRefGoogle Scholar
  29. Lund G (1999) A “forest” by any other name.. Environmental Science and Policy 2(2): 125–134CrossRefGoogle Scholar
  30. Lund H. Gyde (coord.) (2008) Definitions of Forest, Deforestation, Afforestation, and Reforestation. Available online at: http://home.comcast.net∼gyde/DEFpaper.htm/ (last access: 30 January 2009)
  31. Malhi Y, Wright J (2004) Spatial patterns and recent trends in the climate of tropical rainforest regions. Philosophical Transactions of the Royal Society of London Series B-Biological Sciences 359: 311–329CrossRefGoogle Scholar
  32. Mayaux P, Holmgren P, Achard F, Eva H, Stibig H, Branthomme A (2005) Tropical forest cover change in the 1990s and options for future monitoring. Philosophical Transactions of the Royal Society B-Biological Sciences 360: 373–384CrossRefGoogle Scholar
  33. Meyfroidt P, Lambin EF (2008) Forest transition in Vietnam and its environmental impacts. Global Change Biology 14: 1319–1336CrossRefGoogle Scholar
  34. Miettinen J, Liew SC (2005) Connection between fire and land cover change in Southeast Asia: a remote sensing case study in Riau, Sumatra. International Journal of Remote Sensing 26: 1109–1126CrossRefGoogle Scholar
  35. Miles L, Kapos V (2008) Reducing greenhouse gas emissions from deforestation and forest degradation: Global land-use implications. Science 320: 1454–1455CrossRefGoogle Scholar
  36. Nagai S, Ichii K, Morimoto H (2007) Interannual variations in vegetation activities and climate variability caused by ENSO in tropical rainforests. International Journal of Remote Sensing 28: 1285–1297CrossRefGoogle Scholar
  37. Olander LP, Gibbs HK, Steininger M, Swenson JJ, Murray BC (2008) Reference scenarios for deforestation and forest degradation in support of REDD: a review of data and methods. Environmental Research Letters 3Google Scholar
  38. Sarkar S, Chiu L, Kafatos M, Singh R (2007) Sensitivity of rainfall on land cover change over South East Asia: Some observational results. Advances in Space Research 39: 73–78CrossRefGoogle Scholar
  39. Sodhi NS, Koh LP, Brook BW, Ng PKL (2004) Southeast Asian biodiversity: an impending disaster. Trends in Ecology & Evolution 19: 654–660CrossRefGoogle Scholar
  40. Sodhi NS, Lee TM, Koh LP, Brook BW (2009) A Meta-Analysis of the Impact of Anthropogenic Forest Disturbance on Southeast Asia's Biotas. Biotropica 41: 103–109CrossRefGoogle Scholar
  41. Stehman SV (2005) Comparing estimators of gross change derived from complete coverage mapping versus statistical sampling of remotely sensed data Remote Sens. Environ. 96: 46674Google Scholar
  42. Stibig HJ, Beuchle R, Achard F (2003) Mapping of the tropical forest cover of insular Southeast Asia from SPOT4-Vegetation images. Int J Remote Sens 24 (18): 3651–3662CrossRefGoogle Scholar
  43. Stibig HJ, Belward AS, Roy PS, Rosalina-Wasrin U, Agrawal S, Joshi PK, Hildanus, Beuchle R, Fritz S, Mubareka S, Giri C (2007) A land-cover map for South and Southeast Asia derived from SPOT-VEGETATION data. Journal of Biogeography 34: 625–637CrossRefGoogle Scholar
  44. Watson R, Noble I, Bolin B, Ravindranath NH, Verardo D, Dokken DJ (eds.) (2000) Land-use, Land-Use Change, and Forestry a special report of the IPCC. Cambridge University Press, CambridgeGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Stefan Erasmi
    • 1
    Email author
  • Muhammad Ardiansyah
    • 2
  • Pavel Propastin
    • 1
  • Alfredo Huete
    • 3
  1. 1.Institute of GeographyUniversity of GöttingenGöttingenGermany
  2. 2.Department of Soil Sciences and Land resourcesBogor Agricultural UniversityBogorIndonesia
  3. 3.Department of Soil, Water and Environmental ScienceUniversity of ArizonaTucsonUSA

Personalised recommendations